Noise-Avoidance Sampling for Annotation Missing Object Detection.
Jiafeng MaoQing YuGo IrieKiyoharu AizawaPublished in: ICIP (2023)
Keyphrases
- object detection
- missing data
- random noise
- noise level
- background subtraction
- noise model
- active learning
- gaussian noise
- sample size
- pedestrian detection
- image annotation
- computer vision
- sampled data
- noise reduction
- semantic annotation
- monte carlo
- row column
- object categories
- face detection
- incomplete data
- random sampling
- multi class
- automatic image annotation
- scene understanding
- class noise
- learning algorithm
- metadata
- scene recognition
- automatic annotation
- image segmentation
- parameter space
- estimation error
- missing values
- signal to noise ratio